Abstract #300377

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JSM 2003 Abstract #300377
Activity Number: 378
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 12:00 PM to 1:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #300377
Title: An Improvement to the Aligned Rank Statistic for Two-factor Analysis of Variance
Author(s): Mark E. Payton*+ and Scott J. Richter
Companies: Oklahoma State University and University of North Carolina, Greensboro
Address: 301 Math Sciences, Stillwater, OK, 74078-1056,
Keywords: aligned rank ; nonparametric ; ANOVA
Abstract:

We modify the nonparametric method of Brunner, et al. (1997) by applying their method to the aligned ranks of the data. We compare this new approach to three other rank tests: the F-test applied to the ranks of the data, the approximate F-test of Brunner applied to the ranks of the data, and the F-test applied to the aligned ranks of the data. We also compare the new test to parametric F-test and to the approximate F-test using the modified Box-type adjustment of Brunner. Simulation studies show that the proposed test alleviates the problem of inflated Type I error rates shown by both the test based on simple ranks and the rank test of Brunner. In addition, we show that using the Box-type adjustment alleviates the problem of Type I error rate inflation seen previously for the aligned rank test, without a noticeable loss of power, as long as sample sizes are moderate (n>7).


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